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David Does Data


Feeding my curiousity in the Information Age

All-NBA Voting Part 2

Addressing shortcomings of the "Centers Only" approach

Posted on September 19, 2020

2020 All-NBA Voter Prediction Kristian Winfield wrote an excellent piece for SBNation detailing the multimillion-dollar ramifications these votes can have. And now that the official voting results are in, let’s take a look at what understanding and added value we can generate through Data Science. [Read More]
Tags: NBA Machine Learning Sports Prediction

K-Means Clustering

An exploration of the algorithm

Posted on May 29, 2020

Linked here is a Colab notebook which will walk you through the process of implementing the K-Means Clustering algorithm.
Tags: unsupervised learning machine learning

All-NBA Centers in 2020

Using machine-learning to model voting

Posted on January 10, 2020

2020 All-NBA Centers Congratulations to Karl-Anthony Towns, Joel Embiid and Andre Drummond on being named to the 2020 All-NBA squads. [Read More]
Tags: NBA Machine Learning Sports Prediction

Rocket Speed

The data behind speed and rank in Rocket League

Posted on November 22, 2019

“Play faster.” It isn’t without merit, and its proponents aren’t fools. But it’s crap advice. You’ll often hear this advice given to players who find themselves in a rut, chasing an elusive promotion. Those offering speed as a solution will often point out, “Look at how fast Grand Champion players... [Read More]
Tags: Rocket League
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David Vollendroff  •  2022

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